Senior Engineering Manager

Senior Engineering Manager Department: Engineering Team: Backend Location: Bangalore, India Type: Full-Time **About the Role** The Data Platform team in Bangalore is responsible for building Uber's Data Lake for the rest of the company. Team owns end to end charters for multiple batch data areas around storage (HDFS and Cloud Storage), Analytics (Hive, Spark), Pipeline Orchestration and Authoring, Data Quality, Metadata and Lineage, Jupyter Notebooks, Data LifeCycle Management, and Data Engineering. Team drives multiple global efforts around cloud migration and disaster recovery. We have an eclectic team with a diverse set of backgrounds from companies such as Facebook, Google, Cloudera, Amazon, Microsoft, LinkedIn, Twitter, other startups and college grads from the top schools. The team is proud to be a part of the open source community in innovating and shaping such exciting technologies as we move forward. Uber, as a business, is also growing rapidly, and Data at Uber is at the heart of almost all products e.g. Pricing predictions, Uber Pool route optimizations, Uber Eats restaurant recommendations, fraud detection, storage and processing of data collected from Autonomous vehicles etc. By solving these business problems you will not only be helping Uber but also have a front row seat to build and innovate the future Big Data systems and contribute them back to open source. This is an exciting time to be part of the Data team at Uber. Be sure to check out our engineering blog to learn more about the team. **What you'll do** Manage multiple teams - managers and leads that are responsible for designing systems and tools to advance the reliability of data infrastructure including availability, performance, efficiency and scaling - specifically around cloud migration, disaster recovery, data replication, cloud and on-prem storage, metadata systems and data lifecycle management. Provide technical leadership, influence and partner with other leaders and stakeholders to architect, design and build infrastructure that can stand the test of scale and availability, while re